eval_play_card_move_smolvla_20k_v1
收藏Hugging Face2026-03-30 更新2026-03-30 收录
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https://huggingface.co/datasets/rricc22/eval_play_card_move_smolvla_20k_v1
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资源简介:
该数据集是一个用于机器人控制任务的数据集,包含来自两个摄像头的图像观察、机器人的动作和状态信息。数据集总共有5个剧集,2484帧,30帧每秒。数据以parquet格式存储,视频以mp4格式存储。数据集的特征包括机器人的六个关节位置(肩部旋转、肩部提升、肘部弯曲、腕部弯曲、腕部旋转和夹持器位置)、两个摄像头的图像观察(480x640分辨率,3通道)、时间戳、帧索引、剧集索引等。数据集的结构和内容在meta/info.json文件中有详细描述。
This dataset is designed for robotic control tasks, containing image observations from two cameras, robot actions and state information. It consists of 5 episodes, 2484 frames in total, with a frame rate of 30 frames per second. The tabular data is stored in Parquet format, while the videos are saved in MP4 format. The features of the dataset include six joint positions of the robot: shoulder rotation, shoulder lift, elbow flexion, wrist flexion, wrist rotation and gripper position, image observations from the two cameras (480×640 resolution, 3 channels), timestamps, frame indices, episode indices, and other relevant information. The detailed structure and contents of the dataset are described in the meta/info.json file.
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rricc22创建时间:
2026-03-30



